schedsim/plot_weibull_size_vs_slowdown.py at master · DistributedSystemsGroup/schedsim · GitHub

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#!/usr/bin/env python3

from __future__ import division

import argparse
import collections
import glob
import shelve
import os.path

import numpy as np
import matplotlib.pyplot as plt

import plot_helpers
import weibull_workload

axes = 'shape sigma load timeshape njobs'.split()

plotted = 'SRPTE FSPE FSPE+PS PS LAS FIFO'.split()

styles = {'FIFO': ':', 'PS': '-', 'LAS': '--',
          'SRPTE': '--', 'FSPE': ':', 'FSPE+PS': '-'}

colors = {'FIFO': '0.6', 'PS': '0.6', 'LAS': '0.6',
          'SRPTE': 'r', 'FSPE': 'r', 'FSPE+PS': 'r'}

parser = argparse.ArgumentParser(description="plot size vs. sojourn time")
parser.add_argument('dirname', help="directory in which results are stored")
parser.add_argument('--shape', type=float, default=0.5,
                    help="shape for job size distribution "
                    "(if not on one of the axes); default: 0.5")
parser.add_argument('--sigma', type=float, default=0.5,
                    help="sigma for size estimation error log-normal "
                    "distribution (if not on one of the axes); default: 0.5")
parser.add_argument('--load', type=float, default=0.9,
                    help="load for the generated workload; default: 0.99")
parser.add_argument('--timeshape', type=float, default=1,
                    help="shape for the Weibull distribution of job "
                    "inter-arrival times; default: 1 (i.e. exponential)")
parser.add_argument('--njobs', type=int, default=10000,
                    help="number of jobs in the workload; default: 10000")
parser.add_argument('--nolatex', default=False, action='store_true',
                    help="disable LaTeX rendering")
parser.add_argument('--xmin', type=float,
                    help="minimum value on the x axis")
parser.add_argument('--xmax', type=float,
                    help="maximum value on the x axis")
parser.add_argument('--ymin', type=float,
                    help="minimum value on the y axis")
parser.add_argument('--ymax', type=float,
                    help="maximum value on the y axis")
parser.add_argument('--nolegend', default=False, action='store_true',
                    help="don't put a legend in the plot")
parser.add_argument('--legend_loc', default=0,
                    help="location for the legend (see matplotlib doc)")
parser.add_argument('--save', help="don't show but save in target filename")
args = parser.parse_args()

fname_regex = [str(getattr(args, ax)) for ax in axes]
glob_str = os.path.join(args.dirname,
                        'res_{}_[0-9.]*.s'.format('_'.join(fname_regex)))
fnames = glob.glob(glob_str)

def sizes(seed):
    gen = weibull_workload.workload(args.shape, args.load, args.njobs,
                                    args.timeshape, seed)
    return [size for _, size in gen]

results = collections.defaultdict(list)
for fname in fnames:
    print('.', end='', flush=True)
    seed = int(os.path.splitext(fname)[0].split('_')[-1])
    job_sizes = sizes(seed)
    try:
        shelve_ = shelve.open(fname, 'r')
    except:
        # the file is being written now
        continue
    else:
        for scheduler in plotted:
            for sojourns in shelve_[scheduler]:
                pairs = ((size, sojourn / size)
                         for sojourn, size in zip(sojourns, job_sizes))
                results[scheduler].extend(pairs)

print()

fig = plt.figure(figsize=(8, 4.5))
ax = fig.add_subplot(111)
ax.set_xlabel("job size")
ax.set_ylabel("slowdown")
for scheduler in plotted:
    pairs = results[scheduler]
    pairs.sort()
    pairs = np.array(pairs)
    indexes = np.linspace(0, len(pairs), 101)
    xs, ys = zip(*(pairs[ileft:iright].mean(0)
                   for ileft, iright in zip(indexes[:-1], indexes[1:])))
    style = styles[scheduler]
    label = 'PSBS' if scheduler == 'FSPE+PS' else scheduler
    ax.loglog(xs, ys, style, label=label, linewidth=3,
              color=colors[scheduler])

if not args.nolegend:
    ax.legend(loc=args.legend_loc, ncol=2)

ax.tick_params(axis='x', pad=7)

if args.xmin is not None:
    ax.set_xlim(left=args.xmin)
if args.xmax is not None:
    ax.set_xlim(right=args.xmax)
if args.ymin is not None:
    ax.set_ylim(bottom=args.ymin)
if args.ymax is not None:
    ax.set_ylim(top=args.ymax)

if not args.nolatex:
    plot_helpers.config_paper(20)

plt.tight_layout(1)
plt.grid()

if args.save is not None:
    plt.savefig(args.save)
else:
    plt.show()